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The Artificial Intelligence is redefining the digital landscape and at TWO DOTS we closely follow every development. In this category, we explore the practical applications of AI in everyday business, from content creation with tools like ChatGPT and Gemini, to producing visuals through Recraft and Kling AI. AI is not just about the future, but the present of competitiveness.
Through our articles, we analyse how you can responsibly and effectively integrate AI into your processes. You'll discover tips for prompt engineering, automated customer service and predictive analytics to help make the right decisions. The knowledge around Artificial Intelligence is the key to staying ahead in a rapidly changing market. Join us on a journey of innovation and technological excellence that will elevate your results.
Artificial Intelligence affects not only the productivity but also the energy consumption of data centres. The increase in AI usage creates significant needs for electricity and cooling, making it a business risk. For e-commerce businesses, sustainable use of AI is critical, requiring strategic workload selection and partnering with providers that invest in renewable energy. Carbon footprint management can reduce costs and improve brand credibility.
Portable AI workflows are repeatable processes that turn business inputs into useful outputs for e-commerce. They avoid operational risk by maintaining portability between platforms and tools. This approach reduces reliance on freelancers, improves brand consistency and accelerates time-to-market. With the increasing use of AI, organized workflows offer a competitive advantage by keeping productivity independent of specific tools.
AI tools are evolving from generic chatbots to specialized knowledge tools, offering significant support to companies with technical products. Accuris AI Assistant is one such tool that helps engineers and technical teams extract accurate information from technical documents. For B2B businesses, integrating these tools can improve the quality of product pages, speed of content creation, and customer service. Using AI in e-commerce is not only about fast content generation, but also about accurate documentation and leveraging reliable technical knowledge.
AI tools, such as Embedder, offer new possibilities for e-commerce brands, helping to manage and utilize large volumes of data. Using techniques such as vector search and RAG, businesses can answer questions based on specific knowledge sources. This boosts productivity, improves customer service and enhances content marketing. Successes depend on proper implementation, human control and strategic integration, delivering measurable business value.
The conversation about AI Tools has shifted from sensationalism to operational value. For engineers, data teams and e-commerce owners, AI is not just a trend, but a new way of working. Seeq Intelligence, as an AI tool, helps analyze complex data without complicated technical configurations, bringing value to industries and e-commerce. AI adoption is growing, with 72% of organizations using it in at least one function in 2024. AI Tools are becoming a strategic priority, enhancing human judgment and business decisions.
Dell Technologies announced the introduction of production-ready agentic AI into the deskside environment, transforming AI agents from experimental tools to operational tools. This development is critical for e-commerce, as it enables action execution, connectivity to ERP and CRM systems, and data analysis with human oversight. Dell's approach combines infrastructure, software, and partnerships to develop secure AI workloads, bringing agentic AI closer to the enterprise and reducing reliance on remote cloud environments.
ChatGPT vs Claude for e-commerce: costs, capabilities, use cases and a selection guide for teams wanting practical value.
AI automation in e-commerce involves the use of artificial intelligence to automate repetitive tasks, improving efficiency and reducing costs. With AI, businesses can improve customer service, create content and manage data more efficiently. Proper implementation requires process mapping, clean data and the right tools. This trend is now a practical tool for business growth and scaling.
